The Lab: Hypefactors

At Hypefactors, we are pushing the-state-of-the-art of AI assisted reputation management by going beyond the limitations of sentiment analysis.

  • Deep AI: Navigation detection, page segmentation, OCR
  • Market Analysis: Country detection, language detection
  • Time-Series Analysis: Data interpretation (all languages)
  • Text Analysis: Reputation analysis (all languages), sentiment analysis, topic classification
  • Image analysis: Image quality
  • Performance analysis: Impressions/readership estimator

We are pushing the-state-of-the-art of AI assisted reputation management by going beyond the limitations of sentiment analysis.

How AI can improve PR

Hypefactors CTO Viet Yen Nguyen explains how AI can improve PR.

Data

Hypefactors relies on a lot of data from different pipelines. Learn more about how we handle it.

AI

Learn more about the different AI implementations that solves problems for our customers

Front end

Hypefactors relies on the powerfull Vue JS framework for our front end application. Learn more about how we push the limits and contributes to the community.

QA

Deploying new changes, upgrades and features several times a week makes QA a challenge. Learn how we tackle that.

DevOps

The relationship, communication and collaboration between development and IT.

Back end

How we handle a large amount of data and other challenges on the back end of Hypefactors

AI assisted reputation management

At Hypefactors, we are pushing the-state-of-the-art of AI assisted reputation management by going beyond the limitations of sentiment analysis.

A view of the Hypefactors office

Jobs

Interested in working with Hypefactors tech? Apply here.

White paper: Estimate impressions for media mentions

Click here to download our white paper on How to estimate impressions accurately for media mentions.

White paper: Ai for reputation management

Click here to download our white paper on: Ai assistance for reputation management.

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